Camera capture depth workflow
Skill gaelic-ghost/socket/plugins/apple-dev-skills/skills/camera-capture-depth-workflow
Guide Apple camera discovery, device and format configuration, focus, exposure, white balance, zoom, torch, stabilization, rotation, photo capture, RAW, Live Photos, depth and disparity, calibration, synchronized outputs, portrait and semantic mattes, computational capture, pressure, interruptions, and diagnostics with AVFoundation. Use when sensor, camera-control, photo, depth, or device-capability behavior is primary.From its SKILL.md
npx -y skills add gaelic-ghost/socket --skill camera-capture-depth-workflowAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Camera Capture and Depth Workflow
Purpose
Guide AVFoundation camera, photo, depth, and computational-capture work while keeping general session topology, media pipelines, sample timing, audio policy, Vision analysis, and ARKit spatial sensing with their owning workflows.
When To Use
- Use for camera discovery, formats, controls, rotation, photo features, depth, calibration, synchronized outputs, mattes, pressure, and device-specific capture repair.
- Recommend
avfoundation-media-pipeline-workflowwhen general capture-session, output queue, player, asset, reader, writer, export, or back-pressure ownership is primary. - Recommend
vision-image-analysis-workflowwhen capture is working and image interpretation is the actual task.
Single-Path Workflow
- Classify the request:
- device discovery or selection
- format, frame rate, MultiCam, or constituent device
- focus, exposure, white balance, zoom, torch, stabilization, or low light
- rotation, orientation, or mirroring
- processed, RAW, bracketed, Live Photo, responsive, or deferred photo capture
- depth, disparity, calibration, or synchronized output
- portrait-effects, semantic, spatial, or cinematic capture
- authorization, interruption, pressure, dropped data, or runtime repair
- Apply the Apple docs gate:
- read current AVFoundation documentation for every requested feature and platform
- state the documented behavior relied on
- apply
../../shared/references/apple-camera-capability-contract.md - apply
../../shared/references/apple-media-type-ownership.md
- Discover before configuration:
- use
AVCaptureDevice.DiscoverySession, available devices, virtual-device constituents,AVCaptureDevice.Format, supported frame-rate ranges, depth formats, session support, output support, and connection support - never infer capability from a marketing device name, lens count, or OS version alone
- use
- Configure through one owner:
- keep session graph mutation on the serial session owner defined by
avfoundation-media-pipeline-workflow - balance
lockForConfiguration()andunlockForConfiguration()and mutate only supported device properties - configure output, settings, connection, rotation, mirroring, and delegate lifecycle explicitly
- keep session graph mutation on the serial session owner defined by
- Preserve typed capture data:
- keep
AVCapturePhoto,AVDepthData,AVCameraCalibrationData,AVPortraitEffectsMatte,AVSemanticSegmentationMatte,CMSampleBuffer, synchronized data, and dropped-data reasons inspectable - record timestamps, dimensions, orientation, pixel/depth formats, calibration, filtering, accuracy, and source identity
- keep
- Validate honestly:
- distinguish documented support, discovered runtime support, simulator limitations, and physically verified behavior
- return the capability evidence, configuration, output lifecycle, pressure/error policy, diagnostics, and device validation plan
Inputs
request: camera, photo, depth, or computational-capture task.capture_goal:discover,format,controls,rotation,photo,depth,sync,matte,spatial,cinematic, orrepair.platform_context: Apple platform, deployment target, and intended physical devices.pipeline_context: existing session owner, inputs, outputs, connections, queues, and audio-session policy.
Outputs
status:success,handoff, orblocked.path_type:primaryfor camera sensor and capture-feature work,fallbackfor general pipelines, analysis, timing, audio, ARKit, or execution.output: documented behavior, capability matrix, configuration, typed output contract, lifecycle, pressure/error policy, diagnostics, validation, and handoffs.
Guards and Stop Conditions
- Do not select or configure a camera feature before checking the actual device, format, output, connection, session, and platform support.
- Do not call
startRunning(), stop, or reconfigure the capture session on the main thread. - Do not mutate an
AVCaptureDeviceoutside a balanced configuration lock or request unsupported controls. - Do not conflate pixel orientation, metadata orientation, preview rotation, capture rotation, and mirroring.
- Do not treat disparity as metric depth without the documented conversion and calibration context.
- Do not discard calibration, timestamps, dropped-data reasons, matte relationships, or auxiliary image orientation.
- Do not claim camera topology, depth quality, calibration, LiDAR, TrueDepth, MultiCam, HDR, spatial, cinematic, or real-time behavior without physical-device evidence.
- Stop when authorization, device hardware, feature support, source data, or a physical validation path required by the request is unavailable.
Fallbacks and Handoffs
- Recommend
avfoundation-media-pipeline-workflowfor session graph, output queues, capture lifecycle, assets, readers, writers, export, and general back-pressure. - Recommend
coremedia-timing-samplebuffer-workflowfor timestamps, format descriptions, sample attachments, synchronization timing, and dropped-buffer diagnosis. - Recommend
avfaudio-session-workflowfor microphone permission, audio category, route, interruption, and shared capture-session audio policy. - Recommend
vision-image-analysis-workfloworvision-coreml-recognition-workflowafter typed frames reach the analysis boundary. - Recommend
core-image-processing-workflowfor image effects, mattes, compositing, color, or rendering after capture. - Recommend
arkit-spatial-sensing-workflowfor LiDAR scene reconstruction, world tracking, anchors, and environment mapping. - Recommend
arkit-face-body-tracking-workflowfor TrueDepth face geometry and AR body tracking. - Recommend
xcode-build-run-workflowfor privacy strings, entitlements, build, run, physical-device capture, logging, or Instruments. - Recommend
xcode-testing-workflowfor fixtures, capability probes, deterministic transforms, and device test plans. - Recommend
explore-apple-swift-docsfor current capture documentation.
Customization
Use references/customization-flow.md. This workflow defines no runtime-enforced knobs.
References
references/camera-discovery-controls-and-rotation.mdreferences/photo-computational-capture-and-lifecycle.mdreferences/depth-calibration-and-synchronized-capture.mdreferences/customization-flow.md../../shared/references/apple-camera-capability-contract.md../../shared/references/apple-media-type-ownership.md- Recommend
references/snippets/apple-xcode-project-core.mdfor reusable Xcode-project policy.
Script Inventory
scripts/customization_config.py
What ships with it: 8 files
37.7 KB alongside SKILL.md, 1 of them executable
agents/
- openai.yaml351 B
references/
scripts/
- customization_config.pyruns4.3 KB